Search Results - Big data

Refine Results
  1. 1

    Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft (Artificial intelligence and machine learning in sports science)

    D. Memmert
    Published 2025
    “…Durch die Integration von Big Data können Spielergebnisse, Fitnessparameter und individuelle Leistungen eingehend analysiert werden, was zu neuen Entwicklungen in der Forschung führt. …”
    Save to List
    Saved in:
    Access source
  2. 2

    Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women`s Euro 2022 through an IoT and Big Data architecture approach

    Karcher, C., Font, R., Marcos-Jorquera, D., Gilart-Iglesias, V., Manchado, C.
    Published in Biology of Sport (2025)
    “…Auswertung externer Belastungsreaktionen auf kumulative Spielzeit und Position bei der Handball-Europameisterschaft der Frauen 2022 durch einen IoT- und Big-Data-Architekturansatz…”
    Save to List
    Saved in:
    Access source
  3. 3

    Strategic impact: Technical fouls and momentum shifts in basketball games - unveiling insights across quarters of two decades of NBA data

    Lev, A., Maymon, Y. K., Zion, T. B., Tenenbaum, G. “…Spanning two decades (2000-2021), this study examines the frequency and timing of technical fouls (TFs) committed by NBA coaches, and their relationship with momentum shifts throughout the quarters of a basketball game. A big data of 4,196TFs calls of NBA coaches was used to elucidate TFs association with momentum shifts, considering location, scoring position, and quarter. …”
    Save to List
    Saved in:
    Access source
  4. 4

    Monitoring external load during real competition in male handball players through big data analytics: Differences by playing positions

    Manchado, C., Tortosa-Martinez, J., Marcos-Jorquera, D., Gilart-Iglesias, V., Pueo, B., Chirosa-Rios, L. J.
    Published in Kinesiology (2024)
    “…Überwachung der externen Belastung während des realen Wettkampfs bei männlichen Handballspielern durch Big-Data-Analytik: Unterschiede nach Spielpositionen…”
    Save to List
    Saved in:
    Access source
  5. 5

    Positional differences in the efficacy of critical end-of-game possessions in EuroLeague basketball

    Foteinakis, P., Pavlidou, S.
    Published in SportMont (2024)
    “…Therefore, the study aimed to identify play type actions during end-of-game possessions across player positions (guard, forward, and big) that directly influence the possession`s outcome. …”
    Save to List
    Saved in:
    Access source
  6. 6

    The big three: A practical framework for designing decision support systems in sports and an application for basketball

    Bautiste, F. J. S., Brunner, D., Koch, J., Laborie, T., Yang, L., El-Assady, M.
    Save to List
    Saved in:
    Access source
  7. 7

    A comprehensive overview of artificial intelligence applications in basketball

    Agbozo, E., Pandya, K., Jovanovic, P., Suvorova, E. A. “…Big Data…”
    Save to List
    Saved in:
    Access source
  8. 8

    Worst-case scenario analysis of physical demands in elite men handball players by playing position through big data analytics

    Cartón-Llorente, A., Lozano, D., Iglisias, V. G., Jorquera, D. M., Manchado, C.
    Published in Biology of Sport (2023)
    “…Worst-Case-Szenario-Analyse der körperlichen Beanspruchung von Elite-Handballspielern nach Spielposition durch Big-Data-Analytik…”
    Save to List
    Saved in:
    Access source
  9. 9

    Personality profile of amateur team handball referees

    Dodt, M., Fasold, F., Memmert, D. “…This study, therefore, examines the personality profile of amateur handball referees (n = 582) for the first time using the German version of the Big Five Inventory 2 (BFI-2). Current data from German handball referees at the expert level and the German general population were used to compare and discuss the results. …”
    Save to List
    Saved in:
    Access source
  10. 10

    Metabolic power and success in men's handball in the European Championship

    Venzke, J., Schäfer, R., Niederer, D., Manchado, C., Platen, P. “…During 65 matches of the EURO 2020, local positioning system data (Kinexon Precision Technologies) were collected (16.6 Hz), yielding 1853 datasets. …”
    Save to List
    Saved in:
    Access source
  11. 11

    Performance prediction of basketball players using automated personality mining with twitter data

    Siemon, D., Wessels, J.
    Published in Sport, Business and Management (2023)
    “…Design/methodology/approach: Automated personality mining and robotic process automation were used to gather data (player statistics and big five personality traits) of n = 185 professional basketball players. …”
    Save to List
    Saved in:
    Access source
  12. 12

    Optimizing the best play in basketball using deep learning

    Javadpour, L., Blakeslee, J., Khazaeli, M., Schroeder, P.
    Published in Journal of Sports Analytics (2020)
    “…Deep learning is a branch of machine learning that finds patterns within big data and can predict future decisions. The process relies on a raw dataset for training purposes. …”
    Save to List
    Saved in:
    Access source
  13. 13

    An effective self-powered piezoelectric sensor for monitoring basketball skills

    Zhao, C., Jia, C., Zhu, Y., Zhao, T.
    Published in Sensors (2021)
    “…Therefore, the emerging application of flexible sensors have huge long-term prospects in sport big data collection and Internet of Things (IoT).…”
    Save to List
    Saved in:
    Access source
  14. 14

    Objects detection toward complicated high remote basketball sports by leveraging deep CNN architecture

    Liu, L. “…Big Data…”
    Save to List
    Saved in:
    Access source
  15. 15

    A study on the competition of the World Women`s Handball Championship using bigdata : Focused on the top 5 teams of the 2007-2019 World Women`s Handball Championship

    Kang, Y.-G., Kwak, H.-P.
    Published 2021
    “…Eine Wettkampfanalyse der Handball-Weltmeisterschaft der Frauen mit Big Data: Fokus auf die 5 Top-Teams der Handballweltmeisterschaften 2007-2019…”
    Save to List
    Saved in:
    Access source
  16. 16

    Visual analysis of research hot spots, characteristics, and dynamic evolution of international competitive basketball based on knowledge mapping

    Chen, B., Chen, W., Chu, S., Hu, C.
    Published in SAGE open (2021)
    “…(c) "Sports injury" has always been the hot spot and frontier of competitive basketball research, from the early rehabilitation basic research aimed at ensuring competitive participation to the fine-grained preventive research centered on "preventing diseases," and then to the interdisciplinary comprehensive research of electronic science, neuroscience, and brain science. In this process, big data research began to emerge, reflecting the research characteristics of the era of mathematics and intelligence, and also showing the future research trend and development direction of competitive basketball.…”
    Save to List
    Saved in:
    Access source
  17. 17

    Sports analytics - Evaluation of basketball players and team performance

    Sarlis, V., Tjortjis, C.
    Published in Information Systems (2020)
    “…Big Data…”
    Save to List
    Saved in:
    Access source
  18. 18

    A Web application for interactive visualization of European basketball data

    Vinue, G.
    Published in Big data (2020)
    “…Big data…”
    Save to List
    Saved in:
    Access source
  19. 19

    Quantifying physical demands in the National Basketball Association - Challenges around developing best-practice models for athlete care and performance

    McLean, B. D., Strack, D., Russell, J., Coutts, A. J. “…In relation to the physical demands of the NBA, the current lack of information likely results from multiple factors including limited understanding of (basketball-related) emerging technologies, impact of specific league rules, and steps taken to protect players in the age of Big Data. This article explores current limitations in describing specific game/training demands in the NBA and provides perspectives on how some of these challenges may be overcome. …”
    Save to List
    Saved in:
    Access source
  20. 20

    A data snapshot approach for making real-time predictions in basketball

    Kayhan, V. O., Watkins, A.
    Published in Big data (2018)
    “…Big data…”
    Save to List
    Saved in:
    Access source

Search Tools: